Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game.

The researchers are 90% confident that the difference of the means is in the interval.

B. There is a 90% probability that the difference of the means is in the interval.

The researchers are 90% confident that the difference between randomly selected individuals will be in the interval.

D. There is a 90% probability that the difference between randomly selected individuals will be in the interval.

(b) What does this say about priming?

Since the 90% confidence interval contains zero, the results suggest that priming does have an effect on scores.

Since the 90% confidence interval contains zero, the results suggest that priming does not have an effect on scores.

Since the 90% confidence interval does not contain zero, the results suggest that priming does have an effect on scores.

D. Since the 90% confidence interval does not contain zero, the results suggest that priming does not have an effect on scores.

11.

A random sample of 40 adults with no children under the age of 18 years results in a mean daily leisure time of 5.91 hours, with a standard deviation of 2.44 hours. A random sample of 40 adults with children under the age of 18 results in a mean daily leisure time of 4.24 hours, with a standard deviation of 1.87 hours. Construct and interpret a 90% confidence interval

for the mean difference in leisure time between adults with no children and adults with children

μ1 − μ2 .

Let μ1 represent the mean leisure hours of adults with no children under the age of 18 and μ2 represent the mean leisure hours of adults with children under the age of 18.

The 90% confidence interval for

μ1 − μ2

is the range fromhours tohours.

(Round to two decimal places as needed.)

What is the interpretation of this confidence interval?

There is a 90% probability that the difference of the means is in the interval. Conclude that there is insufficient evidence of a significant difference in the number of leisure hours.

There is a 90% probability that the difference of the means is in the interval. Conclude that there is a significant difference in the number of leisure hours.

There is 90% confidence that the difference of the means is in the interval. Conclude that there is a significant difference in the number of leisure hours.

D. There is 90% confidence that the difference of the means is in the interval. Conclude that there is insufficient evidence of a significant difference in the number of leisure hours.